AI Engineer — Build Production ML & Generative AI

Triunity Software, Inc.; Washington (District of Columbia); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Bonus based on performance

Health insurance

Training & development

Job summary

Triunity Software, Inc. is seeking an AI Engineer to join our DC/WA team. You will design, develop, and deploy ML/AI models into production and build data pipelines to support training and inference.

You will collaborate with cross-functional teams to deliver AI-powered solutions, explore NLP, CV, or generative AI techniques, and ensure model performance through monitoring and iteration.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.
• Proven experience building and deploying ML/AI models in production.
• Proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience with LLMs, generative AI, or prompt engineering is a strong plus.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices.
• Strong understanding of data structures, algorithms, and software engineering principles.
• Excellent problem-solving skills and ability to communicate complex concepts clearly.

Responsibilities

• Design, develop, and deploy ML/AI models into production environments.
• Collaborate with cross-functional teams to identify AI-driven solutions for business challenges.
• Build and maintain data pipelines to support model training, evaluation, and inference.
• Research and implement state-of-the-art NLP, computer vision, or generative AI techniques.
• Monitor, evaluate, and continuously improve model performance and accuracy.
• Develop APIs and integrations to embed AI capabilities into existing software platforms.
• Document technical processes, architectures, and model methodologies.

Skills

Python

ML frameworks

LLMs

Cloud & MLOps

CS fundamentals

Education

Bachelor's or Master's in CS/DS/AI

Job description

Triunity Software, Inc. is seeking an AI Engineer to join our DC/WA team. You will design, develop, and deploy ML/AI models into production and build data pipelines to support training and inference.

You will collaborate with cross-functional teams to deliver AI-powered solutions, explore NLP, CV, or generative AI techniques, and ensure model performance through monitoring and iteration.